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PyData London News May 2023¶

74th Meetup, hosted by MAN Group¶

@PyDataLondon¶

PyData Code of Conduct¶

https://pydata.org/code-of-conduct/¶

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NumFOCUS¶

  • US-based charity in support of open-source scientific computing
  • Financial and admin support for many open-source projects
  • Support for many community events
  • https://numfocus.org
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PyData¶

  • Educational program by NumFOCUS
  • A global community
  • 216 groups across 74 countries world-wide
  • 210,000+ users world-wide
  • https://www.meetup.com/pro/pydata/
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PyData London¶

  • 12,259 members, ~5%
  • Monthly meetup and annual conference
  • All run by volunteers
  • https://london.pydata.org/
  • Propose a Talk: https://london.pydata.org/submit-a-talk/
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Socials!¶

Come join the community on on Slack, Twitter or Linkedin

PyData UK Community Slack channel¶

Come join the community on our UK-wide Slack channel!

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@pydatalondon, twitter¶

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Linkedin¶

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PyData London 2023 schedule is live!¶

https://london2023.pydata.org/cfp/schedule/

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PyData London Conference¶

  • Tickets on sale! ~20% sold
  • Sponsorship still open!
    • Diamond; Anaconda, Noteable
    • Platinum; Taipy, Hopswork, MAN
    • Gold; Shopify, Coiled
  • June 2nd - 4th
  • https://pydata.org/london2023
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Volunteer for the conference!¶

  • Sing for your supper! "Free" access to the conference
  • We mostly try and arrange for you to be looking after tracks for talks you want to hear
  • Preference given to those who can do all three days
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Tonight's Schedule¶

18:30 Doors open¶

19:00 Talks start ⬅️ YOU ARE HERE¶

19:15 Talk #1 + Q&A¶

19:45 Break 🥂¶

20:00 Talk #2 + Q&A¶

20:30 ⚡ Lightning Talks ⚡ + 📣 Community Announcements 📣¶

20:45 to 21:00 We're done 🔜 The Banker 🍻¶

Billion-Scale Facial Recognition - Sefik Serengil¶

In this talk, we demonstrate how to perform billion-scale facial recognition using the deepface package for Python and the approximate nearest neighbour algorithm. We have a database of billions of faces, and we show how to create embeddings for each face with deepface and use Faiss to search for an identity in milliseconds, even in such a large database.

How to build a scalable robots ensemble to collect big microscope imaging data - Pavel Katunin and Anton Nikolaev¶

We are trying to find a method that will allow us to automatically crack protocols of predictable differentiation from stem cells into any needed cell type (f.i. human neurons) We use microscopy, CV algorithms, optimizing algorithms, machine learning, and robotics for that purpose. I'm going to speak about the first stage of our project, where we created a cheap open-source microscope that we are using for data collection and manipulating samples and substances.

⚡ Lightning Talks ⚡¶

LangChain, GPT-3, and Me: Promises and Perils of Language Models - Jam Coombes¶

Software Engineer to Machine Learning Engineer - Besart Shyti¶

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